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PhD Academy Award
Exploring usability in exercise interventions: from conceptualisation to measurement and application (PhD Academy Award)
  1. Anne Inger Mørtvedt
  1. Department of Cognitive and Learning Sciences, Michigan Technological University, Houghton, Michigan, USA
  1. Correspondence to Anne Inger Mørtvedt; aim_{at}hotmail.com

https://doi.org/10.1136/bjsports-2024-108426

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    What did I do?

    A literature review and three consecutive studies were developed to offer insights into usability testing and construct clarity within the realm of exercise interventions. The overarching goal was to accurately characterise and quantify the multidimensional concept of exercise programme usability, laying a robust foundation for measurement and subsequent improvement. Through the development and rigorous psychometric assessment of the Intervention Usability Scale for Exercise (IUSE), subconstructs contributing to intervention usability and their impact on the intention to use an exercise intervention were proposed.

    Why did I do it?

    Adherence to prescribed exercise interventions are typically low,1 and some proposed barriers for use involve programme design issues, lack of enjoyment, knowledge gaps, and resource constraints.2–4 Drawing inspiration from successful methodologies in product development, particularly in technological domains, the study explored the potential of usability testing as a tool for enhancing exercise intervention effectiveness. However, first, a foundational understanding of the concept of ‘exercise intervention usability’ was deemed necessary. For instance, it was unclear what factors seem to determine exercise usability and further affect uptake of and adherence to exercise interventions.

    How did I do it?

    A critical literature review on usability and its application in exercise medicine laid the groundwork. This review justified further investigations, encompassing quantitative, qualitative and psychometric research methodologies. The purpose …

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    Footnotes

    • X @AnneIMort

    • Contributors AIM completed this work as part of her PhD. The PhD was supervised by Dr Erich Petushek, Dr Eva Ageberg, Dr Steve Elmer and Dr Kevin Trewartha constituted the committee. Other researchers collaborated and contributed substantially in the studies involved, for which they are rightfully credited as coauthors in the respective article submissions. ChatGPT version 3.5 from OpenAI was used to check for grammar, clarity and conciseness (including suggestions for rephrasing/formatting).

    • Funding This dissertation has been funded through a finishing fellowship by the Graduate School and a grant from the Health Research Institute, both affiliated with Michigan Technological University.

    • Competing interests None declared.

    • Provenance and peer review Not commissioned; externally peer reviewed.